| 基于独立分量分析的切削声发射源信号分离 |
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| 引用本文： | 李卿,邵华,陈群涛,杨明伦.基于独立分量分析的切削声发射源信号分离[J].工具技术,2011,45(6):35-39. |
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| 作者姓名： | 李卿 邵华 陈群涛 杨明伦 |
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| 作者单位： | 上海交通大学机械与动力工程学院;上海交通大学; |
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| 基金项目： | 国家自然科学基金资助项目(51075276) |
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| 摘 要： | 针对切削声发射(Acoustic Emission,AE)信号的多目标状态源并行分离问题和同频干扰源分离问题,引入独立分量分析(Independent Component Analysis,ICA)技术作为研究工具,用刀具破损、切屑折断和环境噪声三个AE源的线性混合模拟切削AE信号,尝试用FastICA算法分离目标状态...
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| 关 键 词： | 声发射 切削过程监测 独立分量分析 |
Source Separation of Cutting AE Signal Based on ICA |
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| Li Qing,Shao Hua,Chen Quntao,Yang Minglun.Source Separation of Cutting AE Signal Based on ICA[J].Tool Engineering(The Magazine for Cutting & Measuring Engineering),2011,45(6):35-39. |
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| Authors: | Li Qing Shao Hua Chen Quntao Yang Minglun |
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| Affiliation: | Li Qing,Postgraduate,School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200240,China,Shao Hua,Chen Quntao,Yang Minglun |
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| Abstract: | The Independent Component Analysis(ICA) technique was introduced as a tool for simultaneously separating from cutting Acoustic Emission(AE) signal multi condition sources with common frequency band.Cutting AE signals were simulated by linearly combining AE sources of tool breakage,chip fracture and environmental noise.It was attempted to separate condition sources with Fast ICA algorithm.The results show that ICA is capable of estimating multi condition sources with errors less than 10%,and that the problem... |
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| Keywords: | Acoustic Emission(AE) cutting process monitoring Independent Component Analysis(ICA) |
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